Triple
T18262101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Fuchs |
E437381
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Nebraska prairie |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nebraska prairie | Statement: [Otto Fuchs, setting, Nebraska prairie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebraska prairie Context triple: [Otto Fuchs, setting, Nebraska prairie]
-
A.
Nebraska prairie
chosen
The Nebraska prairie is a vast expanse of Midwestern grassland characterized by open, rolling plains, rich agricultural soil, and a harsh yet expansive rural landscape.
-
B.
Plains
Plains is a small village in North Lanarkshire, Scotland, situated between Airdrie and Caldercruix in the country’s Central Belt.
-
C.
Plains
Plains is a common, flat, grassy biome in Minecraft characterized by abundant passive mobs, scattered trees or villages, and generally peaceful terrain ideal for building.
-
D.
Plains
Plains is a small borough in Luzerne County, northeastern Pennsylvania, situated within the Wyoming Valley near the city of Wilkes-Barre.
-
E.
Silicon Prairie
Silicon Prairie is the informal name for the tech and startup hub in Texas’s Dallas–Fort Worth area during the early personal computing and internet boom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.